Instructions to use Andresckamilo/Llama3ReftModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Andresckamilo/Llama3ReftModel with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Andresckamilo/Llama3ReftModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload intkey_layer.24.comp.block_output.unit.pos.nunit.1#1.bin with huggingface_hub
96cd359 verified - Xet hash:
- dc77c8e3f9f5d1f898722b18eba7081b1c967f60ad801d8709b88dd66c34fd59
- Size of remote file:
- 51.3 kB
- SHA256:
- 8542f57588f1a81ec3ff0da1d110cc8a71d47fc83168cfb9e01b5fa10d9e6953
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